Attribute-Based Privacy-Preserving Data Sharing for Dynamic Groups in Cloud Computing

Authors

  • K. V. Uma Maheswari  M.Tech Student, Department of CSE, Dr. K. V. Subba Reddy Institute of Technology, Kurnool, Andhra Pradesh, India
  • Dr. Dhanaraj Cheelu  Professor, Department of CSE, Dr. K. V. Subba Reddy Institute of Technology, Kurnool, Andhra Pradesh, India

DOI:

https://doi.org/10.32628/CSEIT2172846

Keywords:

Cloud Computing, Data Sharing, Privacypreserving, Access Control, Dynamic Groups

Abstract

Cloud computing is recognized as an alternative to traditional information technology due to its intrinsic resource sharing and low maintenance characteristics. Cloud computing provides an economical and efficient solution for sharing group resource among cloud users. Unfortunately, when sharing the data in a group while preserving data, identity privacy is still a challenging issue due to frequent change in membership. In overcome this problem, a secure data sharing scheme for dynamic groups is proposed so that any user within a group can share the data in a secure manner by leveraging both the group signature and dynamic broadcast encryption techniques. It should enable any cloud user to anonymously share data with others within the group and support efficient member revocation. The storage overhead and encryption computation cost are dependent on the number of revoked users.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2021-04-30

Issue

Volume 7, Issue 2, March-April-2021

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
K. V. Uma Maheswari, Dr. Dhanaraj Cheelu, " Attribute-Based Privacy-Preserving Data Sharing for Dynamic Groups in Cloud Computing" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 2, pp.585-590, March-April-2021. Available at doi : https://doi.org/10.32628/CSEIT2172846